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subject:"Core"
subject:"Nonparametric statistics"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~subject:"Bayesian inference"
~type_genre:"Arbeitspapier"
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Search: subject_exact:"Estimation theory"
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Core
Nonparametric statistics
Bayesian inference
Estimation theory
162
Schätztheorie
162
Time series analysis
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62
Nichtparametrisches Verfahren
41
Estimation
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Gao, Jiti
31
Frazier, David T.
10
Martin, Gael M.
10
Zhang, Xibin
9
Cheng, Tingting
8
Robert, Christian P.
7
Gong, Xiaodong
5
Linton, Oliver
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Peng, Bin
5
Yan, Yayi
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Forbes, Catherine Scipione
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King, Maxwell L.
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Koo, Bonsoo
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Phillips, Peter C. B.
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Poskitt, Donald Stephen
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Silvapulle, Mervyn J.
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Zhang, Lina
3
Zhao, Xueyan
3
Athanasopoulos, George
2
Hong, Han
2
Hyndman, Rob J.
2
Jiang, Bin
2
Li, Degui
2
Liang, Xuan
2
Liu, Fei
2
Loiza-Maya, Ruben
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Maneesoonthorn, Worapree
2
Panagiotelis, Anastasios
2
Ranasinghe, Kulan
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Rousseau, Judith
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Shang, Han Lin
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Silvapulle, Paramsothy
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Yang, Yanrong
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Anderson, Heather M.
1
Chen, Haotian
1
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1
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1
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1
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Working paper / Department of Econometrics and Business Statistics, Monash University
CEMMAP working papers / Centre for Microdata Methods and Practice
131
Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
51
Discussion paper series / IZA
44
Discussion papers of interdisciplinary research project 373
44
SFB 649 discussion paper
39
Cowles Foundation discussion paper
37
Discussion paper / Tinbergen Institute
37
Série des documents de travail / Centre de Recherche en Économie et Statistique
31
Discussion paper / Humboldt-Universität zu Berlin, Sonderforschungsbereich 373 Quantifikation und Simulation Ökonomischer Prozesse
26
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25
Boston College working papers in economics
23
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23
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22
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18
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CORE discussion papers : DP
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8
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8
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8
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7
Discussion paper / Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München
7
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7
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7
Research paper series / Swiss Finance Institute
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1
Estimation of semiparametric multi- index models using deep neural networks
Donga, Chaohua
;
Gao, Jiti
;
Peng, Bin
;
Yan, Yayi
-
2023
Persistent link: https://www.econbiz.de/10014452599
Saved in:
2
Nonparametric estimation and testing for time-varying VAR models
Gao, Jiti
;
Peng, Bin
;
Yan, Yayi
-
2022
Persistent link: https://www.econbiz.de/10013494327
Saved in:
3
Semiparametric single-index estimation for average treatment effects
Huang, Difang
;
Gao, Jiti
;
Oka, Tatsushi
-
2022
Persistent link: https://www.econbiz.de/10013494395
Saved in:
4
Computing bayes : from then 'til now
Martin, Gael M.
;
Frazier, David T.
;
Robert, Christian P.
-
2022
Persistent link: https://www.econbiz.de/10013494406
Saved in:
5
Decomposing identification gains and evaluating instrument identification power for partially identified average treatment effects
Zhang, Lina
;
Frazier, David T.
;
Poskitt, Donald Stephen
; …
-
2021
-
(updated version of working paper no. 34/20)
Persistent link: https://www.econbiz.de/10012697939
Saved in:
6
Asymptotics for time-varying vector MA (∞) processes
Yan, Yayi
;
Gao, Jiti
;
Peng, Bin
-
2021
Persistent link: https://www.econbiz.de/10012697951
Saved in:
7
Semiparametric spatial autoregressive panel data model with fixed effects and time-varying coefficients
Liang, Xuan
;
Gao, Jiti
;
Gong, Xiaodong
-
2021
Persistent link: https://www.econbiz.de/10012614543
Saved in:
8
Loss-based variational Bayes prediction
Frazier, David T.
;
Loiza-Maya, Ruben
;
Martin, Gael M.
; …
-
2021
Persistent link: https://www.econbiz.de/10012614593
Saved in:
9
Approximating bayes in the 21st century
Martin, Gael M.
;
Frazier, David T.
;
Robert, Christian P.
-
2021
Persistent link: https://www.econbiz.de/10013193948
Saved in:
10
High-frequency jump tests : which test should we use?
Maneesoonthorn, Worapree
;
Martin, Gael M.
;
Forbes, …
-
2020
-
(Revised working paper 17/18)
Persistent link: https://www.econbiz.de/10012606872
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